From ea243682aa9266219839d4c4e11cd14e1fe139a9 Mon Sep 17 00:00:00 2001 From: db0 Date: Wed, 11 Sep 2024 15:58:17 +0200 Subject: [PATCH 1/6] feat: support for flux --- CHANGELOG.md | 4 ++++ horde/apis/v2/stable.py | 5 +++++ horde/classes/stable/processing_generation.py | 3 +++ horde/classes/stable/waiting_prompt.py | 16 +++++++--------- horde/consts.py | 2 +- horde/exceptions.py | 1 + horde/model_reference.py | 1 + 7 files changed, 22 insertions(+), 10 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 188c7032..b720d3ae 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,6 +6,10 @@ SPDX-License-Identifier: AGPL-3.0-or-later # Changelog +# 4.42.0 + +* Adds support for the Flux family of models + # 4.41.0 * Adds support for extra backends behind LLM bridges, and for knowing which are validated. diff --git a/horde/apis/v2/stable.py b/horde/apis/v2/stable.py index 813720b2..eca61d8e 100644 --- a/horde/apis/v2/stable.py +++ b/horde/apis/v2/stable.py @@ -172,6 +172,11 @@ def validate(self): if any(model_reference.get_model_baseline(model_name).startswith("stable_cascade") for model_name in self.args.models): if "control_type" in self.params: raise e.BadRequest("ControlNet does not work with Stable Cascade currently.", rc="ControlNetMismatch") + if any(model_reference.get_model_baseline(model_name).startswith("flux.1") for model_name in self.args.models): + if "control_type" in self.params: + raise e.BadRequest("ControlNet does not work with Flux currently.", rc="ControlNetMismatch") + if self.params.get("hires_fix", False) is True: + raise e.BadRequest("HiRes Fix does not work with Flux currently.", rc="HiResMismatch") if "loras" in self.params: if len(self.params["loras"]) > 5: raise e.BadRequest("You cannot request more than 5 loras per generation.", rc="TooManyLoras") diff --git a/horde/classes/stable/processing_generation.py b/horde/classes/stable/processing_generation.py index efc70c5f..a95346af 100644 --- a/horde/classes/stable/processing_generation.py +++ b/horde/classes/stable/processing_generation.py @@ -64,6 +64,9 @@ def get_gen_kudos(self): if self.wp.params.get("hires_fix", False): return self.wp.kudos * 7 return self.wp.kudos * 4 + if model_reference.get_model_baseline(self.model) in ["flux.1"]: + # Flux is double the size of SDXL and much slower, so it gives double the rewards from it. + return self.wp.kudos * 8 return self.wp.kudos def log_aborted_generation(self): diff --git a/horde/classes/stable/waiting_prompt.py b/horde/classes/stable/waiting_prompt.py index e82b6e9c..69f380a6 100644 --- a/horde/classes/stable/waiting_prompt.py +++ b/horde/classes/stable/waiting_prompt.py @@ -364,7 +364,7 @@ def require_upfront_kudos(self, counted_totals, total_threads): max_res = 768 # We allow everyone to use SDXL up to 1024 if max_res < 1024 and any( - model_reference.get_model_baseline(mn) in ["stable_diffusion_xl", "stable_cascade"] for mn in model_names + model_reference.get_model_baseline(mn) in ["stable_diffusion_xl", "stable_cascade", "flux.1"] for mn in model_names ): max_res = 1024 if max_res > 1024: @@ -372,10 +372,8 @@ def require_upfront_kudos(self, counted_totals, total_threads): # Using more than 10 steps with LCM requires upfront kudos if self.is_using_lcm() and self.get_accurate_steps() > 10: return (True, max_res, False) - # Stable Cascade doesn't need so many steps, so we limit it a bit to prevent abuse. - if any(model_reference.get_model_baseline(mn) in ["stable_cascade"] for mn in model_names) and self.get_accurate_steps() > 30: - return (True, max_res, False) - if self.get_accurate_steps() > 50: + # Some models don't require a lot of steps, so we check their requirements. The max steps we allow without upfront kudos is 40 + if any(model_reference.get_model_requirements(mn).get("max_steps",40) > self.get_accurate_steps() for mn in model_names): return (True, max_res, False) if self.width * self.height > max_res * max_res: return (True, max_res, False) @@ -400,9 +398,7 @@ def downgrade(self, max_resolution): # Break, just in case we went too low if self.width * self.height < 512 * 512: break - max_steps = 50 - if any(model_reference.get_model_baseline(mn) in ["stable_cascade"] for mn in self.get_model_names()): - max_steps = 30 + max_steps = min(model_reference.get_model_requirements(mn).get("max_steps",30) for mn in self.get_model_names()) if self.params.get("control_type"): max_steps = 20 if self.is_using_lcm(): @@ -435,7 +431,7 @@ def get_accurate_steps(self): if self.params.get("sampler_name", "k_euler_a") in ["k_dpm_adaptive"]: # This sampler chooses the steps amount automatically # and disregards the steps value from the user - # so we just calculate it as an average 50 steps + # so we just calculate it as an average 40 steps return 40 steps = self.params["steps"] if self.params.get("sampler_name", "k_euler_a") in SECOND_ORDER_SAMPLERS: @@ -499,6 +495,8 @@ def extrapolate_dry_run_kudos(self): return (self.calculate_extra_kudos_burn(kudos) * self.n * 2) + 1 if model_reference.get_model_baseline(model_name) in ["stable_cascade"]: return (self.calculate_extra_kudos_burn(kudos) * self.n * 4) + 1 + if model_reference.get_model_baseline(model_name) in ["flux.1"]: + return (self.calculate_extra_kudos_burn(kudos) * self.n * 8) + 1 # The +1 is the extra kudos burn per request return (self.calculate_extra_kudos_burn(kudos) * self.n) + 1 diff --git a/horde/consts.py b/horde/consts.py index f833db9c..60da977e 100644 --- a/horde/consts.py +++ b/horde/consts.py @@ -2,7 +2,7 @@ # # SPDX-License-Identifier: AGPL-3.0-or-later -HORDE_VERSION = "4.41.0 " +HORDE_VERSION = "4.42.0 " WHITELISTED_SERVICE_IPS = { "212.227.227.178", # Turing Bot diff --git a/horde/exceptions.py b/horde/exceptions.py index 0f107dae..d67cca6c 100644 --- a/horde/exceptions.py +++ b/horde/exceptions.py @@ -150,6 +150,7 @@ "InvalidTransparencyModel", "InvalidTransparencyImg2Img", "InvalidTransparencyCN", + "HiResMismatch", ] diff --git a/horde/model_reference.py b/horde/model_reference.py index 79604913..3d6908dd 100644 --- a/horde/model_reference.py +++ b/horde/model_reference.py @@ -53,6 +53,7 @@ def call_function(self): "stable diffusion 2 512", "stable_diffusion_xl", "stable_cascade", + "flux.1", }: self.stable_diffusion_names.add(model) if self.reference[model].get("nsfw"): From dca63e0ab37afd4c7d65bc8424a75d1701949a0f Mon Sep 17 00:00:00 2001 From: db0 Date: Wed, 11 Sep 2024 16:09:26 +0200 Subject: [PATCH 2/6] feat: reduce batching on flux --- horde/classes/stable/waiting_prompt.py | 8 ++++++++ horde/classes/stable/worker.py | 1 + horde/consts.py | 7 +++++++ 3 files changed, 16 insertions(+) diff --git a/horde/classes/stable/waiting_prompt.py b/horde/classes/stable/waiting_prompt.py index 69f380a6..b46e3de9 100644 --- a/horde/classes/stable/waiting_prompt.py +++ b/horde/classes/stable/waiting_prompt.py @@ -18,6 +18,7 @@ KNOWN_LCM_LORA_VERSIONS, KNOWN_POST_PROCESSORS, SECOND_ORDER_SAMPLERS, + BASELINE_BATCHING_MULTIPLIERS, ) from horde.flask import db from horde.image import convert_pil_to_b64 @@ -511,5 +512,12 @@ def has_heavy_operations(self): return True return False + def get_highest_model_batching_multiplier(self): + highest_multiplier = 1 + for mn in self.get_model_names(): + if BASELINE_BATCHING_MULTIPLIERS.get(mn, 1) > highest_multiplier: + highest_multiplier = BASELINE_BATCHING_MULTIPLIERS.get(mn, 1) + return highest_multiplier + def count_pp(self): return len(self.params.get("post_processing", [])) diff --git a/horde/classes/stable/worker.py b/horde/classes/stable/worker.py index 72984492..182a5d38 100644 --- a/horde/classes/stable/worker.py +++ b/horde/classes/stable/worker.py @@ -225,6 +225,7 @@ def get_safe_amount(self, amount, wp): if wp.has_heavy_operations(): pp_multiplier *= 1.8 mps *= pp_multiplier + mps *= wp.get_highest_model_batching_multiplier() safe_amount = round(safe_generations / mps) if safe_amount > amount: safe_amount = amount diff --git a/horde/consts.py b/horde/consts.py index 60da977e..fa65ce40 100644 --- a/horde/consts.py +++ b/horde/consts.py @@ -38,6 +38,13 @@ "4x_AnimeSharp" "CodeFormers", } +# These models are very large in VRAM, so we increase the calculated MPS +# used to figure out batches by a set multiplier to reduce how many images are batched +# at a time when these models are used. +BASELINE_BATCHING_MULTIPLIERS = { + "flux.1": 2, +} + KNOWN_SAMPLERS = { "k_lms", From bf0e4b62f3025135f825879715ae5a6926428ee1 Mon Sep 17 00:00:00 2001 From: db0 Date: Wed, 11 Sep 2024 16:25:31 +0200 Subject: [PATCH 3/6] normalize baseline names --- horde/apis/v2/stable.py | 2 +- horde/classes/stable/processing_generation.py | 2 +- horde/classes/stable/waiting_prompt.py | 4 ++-- horde/consts.py | 2 +- horde/model_reference.py | 2 +- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/horde/apis/v2/stable.py b/horde/apis/v2/stable.py index eca61d8e..26f6f4f5 100644 --- a/horde/apis/v2/stable.py +++ b/horde/apis/v2/stable.py @@ -172,7 +172,7 @@ def validate(self): if any(model_reference.get_model_baseline(model_name).startswith("stable_cascade") for model_name in self.args.models): if "control_type" in self.params: raise e.BadRequest("ControlNet does not work with Stable Cascade currently.", rc="ControlNetMismatch") - if any(model_reference.get_model_baseline(model_name).startswith("flux.1") for model_name in self.args.models): + if any(model_reference.get_model_baseline(model_name).startswith("flux_1") for model_name in self.args.models): if "control_type" in self.params: raise e.BadRequest("ControlNet does not work with Flux currently.", rc="ControlNetMismatch") if self.params.get("hires_fix", False) is True: diff --git a/horde/classes/stable/processing_generation.py b/horde/classes/stable/processing_generation.py index a95346af..d4a984ba 100644 --- a/horde/classes/stable/processing_generation.py +++ b/horde/classes/stable/processing_generation.py @@ -64,7 +64,7 @@ def get_gen_kudos(self): if self.wp.params.get("hires_fix", False): return self.wp.kudos * 7 return self.wp.kudos * 4 - if model_reference.get_model_baseline(self.model) in ["flux.1"]: + if model_reference.get_model_baseline(self.model) in ["flux_1"]: # Flux is double the size of SDXL and much slower, so it gives double the rewards from it. return self.wp.kudos * 8 return self.wp.kudos diff --git a/horde/classes/stable/waiting_prompt.py b/horde/classes/stable/waiting_prompt.py index b46e3de9..2f16a95c 100644 --- a/horde/classes/stable/waiting_prompt.py +++ b/horde/classes/stable/waiting_prompt.py @@ -365,7 +365,7 @@ def require_upfront_kudos(self, counted_totals, total_threads): max_res = 768 # We allow everyone to use SDXL up to 1024 if max_res < 1024 and any( - model_reference.get_model_baseline(mn) in ["stable_diffusion_xl", "stable_cascade", "flux.1"] for mn in model_names + model_reference.get_model_baseline(mn) in ["stable_diffusion_xl", "stable_cascade", "flux_1"] for mn in model_names ): max_res = 1024 if max_res > 1024: @@ -496,7 +496,7 @@ def extrapolate_dry_run_kudos(self): return (self.calculate_extra_kudos_burn(kudos) * self.n * 2) + 1 if model_reference.get_model_baseline(model_name) in ["stable_cascade"]: return (self.calculate_extra_kudos_burn(kudos) * self.n * 4) + 1 - if model_reference.get_model_baseline(model_name) in ["flux.1"]: + if model_reference.get_model_baseline(model_name) in ["flux_1"]: return (self.calculate_extra_kudos_burn(kudos) * self.n * 8) + 1 # The +1 is the extra kudos burn per request return (self.calculate_extra_kudos_burn(kudos) * self.n) + 1 diff --git a/horde/consts.py b/horde/consts.py index fa65ce40..c20879d4 100644 --- a/horde/consts.py +++ b/horde/consts.py @@ -42,7 +42,7 @@ # used to figure out batches by a set multiplier to reduce how many images are batched # at a time when these models are used. BASELINE_BATCHING_MULTIPLIERS = { - "flux.1": 2, + "flux_1": 2, } diff --git a/horde/model_reference.py b/horde/model_reference.py index 3d6908dd..9b53b20e 100644 --- a/horde/model_reference.py +++ b/horde/model_reference.py @@ -53,7 +53,7 @@ def call_function(self): "stable diffusion 2 512", "stable_diffusion_xl", "stable_cascade", - "flux.1", + "flux_1", }: self.stable_diffusion_names.add(model) if self.reference[model].get("nsfw"): From 0c8f017311df959f4dea4a7a35ae8431dcee7aa9 Mon Sep 17 00:00:00 2001 From: db0 Date: Wed, 11 Sep 2024 16:53:26 +0200 Subject: [PATCH 4/6] chore: linting --- horde/classes/stable/waiting_prompt.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/horde/classes/stable/waiting_prompt.py b/horde/classes/stable/waiting_prompt.py index 2f16a95c..dd5a9ced 100644 --- a/horde/classes/stable/waiting_prompt.py +++ b/horde/classes/stable/waiting_prompt.py @@ -13,12 +13,12 @@ from horde.classes.base.waiting_prompt import WaitingPrompt from horde.classes.stable.kudos import KudosModel from horde.consts import ( + BASELINE_BATCHING_MULTIPLIERS, HEAVY_POST_PROCESSORS, KNOWN_LCM_LORA_IDS, KNOWN_LCM_LORA_VERSIONS, KNOWN_POST_PROCESSORS, SECOND_ORDER_SAMPLERS, - BASELINE_BATCHING_MULTIPLIERS, ) from horde.flask import db from horde.image import convert_pil_to_b64 @@ -374,7 +374,7 @@ def require_upfront_kudos(self, counted_totals, total_threads): if self.is_using_lcm() and self.get_accurate_steps() > 10: return (True, max_res, False) # Some models don't require a lot of steps, so we check their requirements. The max steps we allow without upfront kudos is 40 - if any(model_reference.get_model_requirements(mn).get("max_steps",40) > self.get_accurate_steps() for mn in model_names): + if any(model_reference.get_model_requirements(mn).get("max_steps", 40) > self.get_accurate_steps() for mn in model_names): return (True, max_res, False) if self.width * self.height > max_res * max_res: return (True, max_res, False) @@ -399,7 +399,7 @@ def downgrade(self, max_resolution): # Break, just in case we went too low if self.width * self.height < 512 * 512: break - max_steps = min(model_reference.get_model_requirements(mn).get("max_steps",30) for mn in self.get_model_names()) + max_steps = min(model_reference.get_model_requirements(mn).get("max_steps", 30) for mn in self.get_model_names()) if self.params.get("control_type"): max_steps = 20 if self.is_using_lcm(): @@ -518,6 +518,6 @@ def get_highest_model_batching_multiplier(self): if BASELINE_BATCHING_MULTIPLIERS.get(mn, 1) > highest_multiplier: highest_multiplier = BASELINE_BATCHING_MULTIPLIERS.get(mn, 1) return highest_multiplier - + def count_pp(self): return len(self.params.get("post_processing", [])) From 0415c9a4094e1983400d295e86eff49c2cb3e153 Mon Sep 17 00:00:00 2001 From: db0 Date: Wed, 11 Sep 2024 16:55:02 +0200 Subject: [PATCH 5/6] fix: license --- img_stable/{1,jpg.license => 1.jpg.license} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename img_stable/{1,jpg.license => 1.jpg.license} (100%) diff --git a/img_stable/1,jpg.license b/img_stable/1.jpg.license similarity index 100% rename from img_stable/1,jpg.license rename to img_stable/1.jpg.license From 635ae20b2bfba2da23b5ea482e91f3abfa15e664 Mon Sep 17 00:00:00 2001 From: db0 Date: Wed, 11 Sep 2024 16:56:45 +0200 Subject: [PATCH 6/6] tests: more images to fix the SDK --- img_stable/2.jpg | Bin 0 -> 281493 bytes img_stable/2.jpg.license | 3 +++ img_stable/3.jpg | Bin 0 -> 281493 bytes img_stable/3.jpg.license | 3 +++ 4 files changed, 6 insertions(+) create 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